Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay problems. Trigger with phrases like "clay debug", "clay support bundle", "collect clay logs", "clay diagnostic".
Execute Clay secondary workflow: Core Workflow B. Use when implementing secondary use case, or complementing primary workflow. Trigger with phrases like "clay secondary workflow", "secondary task with clay".
Optimize Clay costs through tier selection, sampling, and usage monitoring. Use when analyzing Clay billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "clay cost", "clay billing", "reduce clay costs", "clay pricing", "clay expensive", "clay budget".
Implement Clay PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for Clay integrations. Trigger with phrases like "clay data", "clay PII", "clay GDPR", "clay data retention", "clay privacy", "clay CCPA".
Apply Clay advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for Clay support escalation. Trigger with phrases like "clay hard bug", "clay mystery error", "clay impossible to debug", "difficult clay issue", "clay deep debug".
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Build production agent workflows with empirical verification - Complete teaching system with guides, diagrams, and working examples.
→ Start Here: 5-Minute Introduction | → Visual Architecture Map | → System Summary
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Guides (90+ pages) |
Reference Implementation |
What you'll learn: Turn "LLM analyzed my code" into "LLM + script verified with evidence" - The pattern for production-ready agent systems.
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